Note: The job is a remote job and is open to candidates in USA. PTSOL ® - Progressive Technology Solutions is seeking a highly skilled Data Science & Analytics Engineer to join their team and drive advanced analytics initiatives within the Pega Customer Decision Hub ecosystem. The role involves developing scalable data retrieval and analysis frameworks, building monitoring solutions for machine learning models, and enabling deeper analytical insights for business stakeholders.
Responsibilities
- Develop and maintain a library of required queries/scripts to replicate the CDH customer contextual object in external systems such as Databricks and Azure Synapse (ASL) for deeper analysis
- Standardize the format for executing key data retrieval steps to ensure consistency and usability for the broader team, including:
- Interaction-to-outcome attribution (e.g., account opens)
- Model data-to-interaction mapping (model performance, predictor performance)
- Member profile-to-interaction mapping
- Create reusable notebooks for the broader team to answer specific business questions, including:
- Distribution Analysis
- Arbitration Analysis
- Channel Engagement Analysis
- Empower team members with self-service analytics tools and standardized frameworks
- Establish baseline KPIs and back-testing approaches for new model-related features (e.g., propensity thresholds)
- Develop and maintain ongoing model performance monitoring frameworks
- Support initial model maturity analysis and collaborate with MDSA on code changes and logic enhancements
- Build and maintain a health dashboard for the NBI Program Model, ensuring it is presentation-ready for leadership and broader stakeholders
- Identify and close analytical gaps by standardizing the approach for:
- Actionable Monitoring Data: Capture when propensity scores are exceptionally low closer to real-time (within 1 day)
- Value Assessment: Detect when actions are not providing value to their intended objectives (acquisition, engagement)
- Monitor eligible audience for different actions/treatments, leveraging simulation environments post-live deployment
- Tie interactions back to key Member demographic data for granular analysis, ensuring this process is standardized for all team members
Skills
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Master's preferred)
- [X]+ years of experience in data science, analytics engineering, or a related role
- Proficiency in working within Databricks for data engineering and analytics
- Strong proficiency in Python/PySpark and SQL
- Hands-on experience with Pega Customer Decision Hub is strongly preferred
- Experience with Azure Synapse, Snowflake, or similar cloud data platforms
- Experience creating and maintaining analytical notebooks for team-wide use
- Proven ability to establish KPIs, back-test models, and monitor model performance
- Experience with attribution modeling, arbitration analysis, and distribution analysis
- Strong communication skills to translate complex technical findings into actionable insights for leadership and non-technical stakeholders
- Experience with model governance and compliance frameworks
- Familiarity with marketing analytics, customer engagement, and acquisition/retention metrics
- Exposure to simulation environments for audience targeting and treatment optimization
Company Overview